# Copyright (c) 2023-2024 Huawei Technologies Co., Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import torch
import torch_npu
import torch.nn as nn

from msit_llm.opcheck import operation_test
from msit_llm.common.log import logger


class OpcheckSortOperation(operation_test.OperationTest):
    def golden_calc(self, in_tensors):
        num = self.param.get("num", None)
        values, indices = torch.topk(in_tensors[0], k=num[0], largest=True)
        return [values, indices.int()]

    def test_3d_float(self):
        ret = self.validate_param("num")
        if not ret:
            return
        self.execute()